Leaderboards

all_d02_n130all_d02_n210all_d02_n80all_d03_n130all_d03_n210all_d03_n80all_d05_n130all_d05_n210all_d05_n80all_d08_n130all_d08_n210all_d08_n80all_d13_n130all_d13_n210all_d13_n340all_d13_n550all_d13_n80all_d21_n130all_d21_n210all_d21_n340all_d21_n550all_d21_n80all_d34_n130all_d34_n210all_d34_n340all_d34_n550all_d34_n80all_d55_n130all_d55_n210all_d55_n340all_d55_n550all_d55_n80all_d89_n130all_d89_n210all_d89_n340all_d89_n550all_d89_n80classic_d02_n130classic_d02_n210classic_d02_n30classic_d02_n340classic_d02_n50classic_d02_n80classic_d03_n130classic_d03_n210classic_d03_n30classic_d03_n340classic_d03_n50classic_d03_n80classic_d05_n130classic_d05_n210classic_d05_n30classic_d05_n340classic_d05_n50classic_d05_n80classic_d08_n130classic_d08_n210classic_d08_n30classic_d08_n340classic_d08_n50classic_d08_n80classic_d13_n130classic_d13_n210classic_d13_n340classic_d13_n550classic_d13_n80classic_d21_n130classic_d21_n210classic_d21_n340classic_d21_n550classic_d21_n80classic_d34_n130classic_d34_n210classic_d34_n340classic_d34_n550classic_d34_n80classic_d55_n130classic_d55_n210classic_d55_n340classic_d55_n550classic_d55_n80classic_d89_n130classic_d89_n210classic_d89_n340classic_d89_n550classic_d89_n80overallportfolio_d02_n130portfolio_d02_n210portfolio_d02_n80portfolio_d03_n130portfolio_d03_n210portfolio_d03_n80portfolio_d05_n130portfolio_d05_n210portfolio_d05_n80portfolio_d08_n130portfolio_d08_n210portfolio_d08_n80portfolio_d13_n130portfolio_d13_n210portfolio_d13_n340portfolio_d13_n550portfolio_d13_n80portfolio_d21_n130portfolio_d21_n210portfolio_d21_n340portfolio_d21_n550portfolio_d21_n80portfolio_d34_n130portfolio_d34_n210portfolio_d34_n340portfolio_d34_n550portfolio_d34_n80portfolio_d55_n130portfolio_d55_n210portfolio_d55_n340portfolio_d55_n550portfolio_d55_n80portfolio_d89_n130portfolio_d89_n210portfolio_d89_n340portfolio_d89_n550portfolio_d89_n80

Optimizer Elo Ratings

Produced by optimizer-elo-ratings using the humpday package. See the article.

Class of objective functions: portfolio

Dimension 21

Function evaluation limit: 550

NameRatingGamesActive
bobyqa_default2631.0434yes
bobyqa_noise2598.0462yes
nevergrad_oneplus2167.055no
dlib2114.0475yes
scipy_slsqp2094.0412yes
dlib_default2050.0479yes
nevergrad_ngopt42005.048no
nevergrad_ngopt81998.048no
nevergrad_ngopt1994.051no
ultraopt_etpe1975.0139no
pymoo_pattern1931.022no
nlopt_directr1924.025no
freelunch_sa_211799.011no
pymoo_nsga31791.027no
freelunch_sade_211786.09no
nlopt_esch1770.019no
scipy_powell1719.0389yes
freelunch_de_81713.013no
platypus_omopso1710.027no
nlopt_direct1688.027no
freelunch_sa_31687.07no
platypus_epsmoea1652.030no
freelunch_pso_211651.08no
freelunch_sade_81644.012no
freelunch_sa_81638.08no
platypus_evolutionary1613.022no
platypus_moead1612.027no
freelunch_pso_31605.04no
optuna_random_clone_1160061no
optuna_random_clone160051no
optuna_random_clone_2160048no
optuna_random160045no
shgo_slsqp_sobol16000yes
shgo_powell_sobol16000yes
shgo_nelder_sobol16000yes
skopt_gp_default16000yes
scipy_nelder16000no
pysot_ei16000no
pysot_lcb16000no
pysot_random16000no
pysot_srbf16000no
pysot_dycors16000no
ax_default16000no
optuna_cmaes16000no
platypus_cmaes16000no
pymoo_unsga316000no
ultraopt_gbrt16000no
bayesopt_ucb16000no
bayesopt_ei16000no
bayesopt_poi16000no
nlopt_ags16000no
hebo_sequential16000no
hebo_batch16000no
freelunch_krillherd_316000no
freelunch_krillherd_816000no
platypus_genetic1600.029no
optuna_tpe1595.052no
freelunch_de_211594.06no
scipy_lbfgsb1592.0174yes
platypus_nsgaii1565.024no
pymoo_nelder1561.016no
nevergrad_hammersley1552.052no
platypus_smpso1545.019no
platypus_ibea1537.026no
nlopt_crs2lm1530.018no
nevergrad_de1530.050no
ultraopt_forest1524.0116no
freelunch_pso_81513.010no
nlopt_directl1495.020no
nevergrad_portfolio1481.048no
nlopt_isres1466.021no
freelunch_sade_31456.06no
pymoo_nsga21367.014no
platypus_spea21361.021no
freelunch_de_31339.017no
platypus_gde31219.026no
nlopt_directo1147.035no
hyperopt_atpe1105.0496yes
hyperopt_tpe956.0457yes
hyperopt_rand941.0466yes
ultraopt_random834.0138no